Title: Machine Learning Approaches to Text and Multimedia Mining Abstract: Today's search engines are able to retrieve and index several billion web pages, but the analysis that they perform on the content of these pages is still very shallow -- as is, consequently, the functionality that they are able to offer the user. What if these search engines could, for example, extract the factual content from the pages they retrieve, classify the pictures that accompany the text, disambiguate namesakes or mine opinions expressed in the pages? Undoubtably, this would open a world of possibilities in what concerns new functionalities and enhanced user experience, fueled by richer underlying data models. In this talk, I will describe my research, spanning a number of years, on these topics. The common denominator in the several approaches that I will present is the fact that they rely heavily on machine learning techniques, to train systems to classify and extract target information. The talk will also overview real-world applications of the systems originating from the research -- for instance, in one case we trained one of our systems to extract information from a collection of jet engine reports provided by Rolls-Royce, resulting in a positive impact in the way their engineers search for information in the course of their work. Speaker: Jos Iria is a Research Associate at the University of Sheffield (UK), where he has been working on Machine Learning-based Text and Multimedia Mining since 2002. Before that, he worked for 2 years at Siemens R&D in Lisbon, Portugal. Jos will soon (2009) hold a Ph.D. in Computer Science from the University of Sheffield, having obtained both his M.Sc. and Engineering degrees also in Computer Science from Instituto Superior Tcnico (Technical University of Lisbon). His research interests include Information Extraction, Document Classification, Opinion Mining, Supervised and Semi-supervised Learning, Graph-based methods, and applications of this sort of technologies to Web and Knowledge Management problems. He worked in two large European projects and one UK project, and his current activities include the coordination of the multimedia mining area in the X-Media project (http://www.x-media-project.org/), a large EU project that deals with acquiring, sharing and reusing knowledge in large distributed environments and that involves 15 partners, among which FIAT and Rolls-Royce as industrial partners. Jos has made more than 30 contributions to international journals, conferences and workshops on the topics of his research.